Intelligent and rapid event-based load shedding pre-determination for large-scale power systems: Knowledge-enhanced parallel branching dueling Q-network …

Z Hu, W Yao, Z Shi, H Shuai, W Gan, J Wen - Applied Energy, 2023 - Elsevier
With the increasing penetration of renewable energy, power system instability factors are
rising. Transient voltage instability is a common power system problem that can cause …

A newton method-based distributed algorithm for multi-area economic dispatch

J Qin, Y Wan, X Yu, Y Kang - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel Newton method-based distributed algorithm (NMDA),
which is also effective in solving the general single-area EDP (SAEDP), to deal with the multi …

Distributed economic MPC for LFC of multi-area power system with wind power plants in power market environment

C Zhang, S Wang, Q Zhao - International Journal of Electrical Power & …, 2021 - Elsevier
The rising penetration of renewable energy and the diverse power transaction mechanisms
in power market environment (PME) make the control problem of the power system more …

Whale optimization controller for load frequency control of a two-area multi-source deregulated power system

R Kumar, VK Sharma - International Journal of Fuzzy Systems, 2020 - Springer
This article discusses a Whale Optimization (WO) controller for design analysis, stability
management, application, and performance analysis of a deregulated two-area multi-source …

[HTML][HTML] Knowledge-enhanced deep reinforcement learning for intelligent event-based load shedding

Z Hu, Z Shi, L Zeng, W Yao, Y Tang, J Wen - International Journal of …, 2023 - Elsevier
Event-based load shedding (ELS) is an important emergency countermeasure against
transient voltage instability in power systems. At present, the formulation of ELS measures is …

[HTML][HTML] Harmonic analysis in distributed power system based on IoT and dynamic compressed sensing

Y Niu, T Yang, F Yang, X Feng, P Zhang, W Li - Energy Reports, 2022 - Elsevier
Massive distributed clean energy takes power electronic equipment as the grid​ access
connector, which brings serious harmonic pollutions. To monitor the power quality in the …

[HTML][HTML] Offline economic dispatch for multi-area power system via hierarchical reinforcement learning

L Yu, D Li, N Li - International Journal of Electrical Power & Energy …, 2023 - Elsevier
In this paper, a novel hierarchical reinforcement learning (HRL) architecture is put forward to
resolve the multi-area economic dispatch (MAED) problem in a fully off-line optimization …

An accurate and fast start-up scheme for power system real-time emergency control

S Yang, Z Hao, B Zhang, M Hojo - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
With the development of PMUs in power systems, the response-based real-time emergency
control becomes a promising way to prevent power outages when power systems are …

Convex neural networks based reinforcement learning for load frequency control under denial of service attacks

F Zeng, G Qi, Z Zhu, J Sun, G Hu, M Haner - Algorithms, 2022 - mdpi.com
With the increase in the complexity and informatization of power grids, new challenges, such
as access to a large number of distributed energy sources and cyber attacks on power grid …

A stream processing framework based on linked data for information collaborating of regional energy networks

H Yu, L Da Xu, H Cai, S Li, B Xu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Coordinating of energy networks to form a city-level multidimensional integrated energy
system becomes a new trend in Energy Internet (EI). The collaborating in the information …